Title
Mirtarbase 2016: Updates To The Experimentally Validated Mirna-Target Interactions Database
Abstract
MicroRNAs (miRNAs) are small non-coding RNAs of approximately 22 nucleotides, which negatively regulate the gene expression at the post-transcriptional level. This study describes an update of the miRTarBase (http://miRTarBase.mbc.nctu.edu.tw/) that provides information about experimentally validated miRNA-target interactions (MTIs). The latest update of the miRTarBase expanded it to identify systematically Argonaute-miRNA-RNA interactions from 138 crosslinking and immunoprecipitation sequencing (CLIP-seq) data sets that were generated by 21 independent studies. The database contains 4966 articles, 7439 strongly validated MTIs (using reporter assays or western blots) and 348 007 MTIs from CLIP-seq. The number of MTIs in the miRTarBase has increased around 7-fold since the 2014 miRTarBase update. The miRNA and gene expression profiles from The Cancer Genome Atlas (TCGA) are integrated to provide an effective overview of this exponential growth in the miRNA experimental data. These improvements make the miRTarBase one of the more comprehensively annotated, experimentally validated miRNA-target interactions databases and motivate additional miRNA research efforts.
Year
DOI
Venue
2016
10.1093/nar/gkv1258
NUCLEIC ACIDS RESEARCH
Field
DocType
Volume
Genome,Biology,microRNA,Genetics,Database,Gene expression profiling,MiRTarBase
Journal
44
Issue
ISSN
Citations 
D1
0305-1048
56
PageRank 
References 
Authors
2.01
22
27
Name
Order
Citations
PageRank
Chih-Hung Chou117611.55
Nai-Wen Chang2773.18
Sirjana Shrestha31376.68
Sheng-Da Hsu431524.16
Yu-Ling Lin51276.07
Wei-Hsiang Lee6562.01
Chi-dung Yang7844.79
Hsiao-Chin Hong8562.35
Ting-Yen Wei9732.78
Siang-Jyun Tu10562.01
Tzi-Ren Tsai11732.78
Shu-Yi Ho121275.39
Ting-Yan Jian131104.63
Hsin-Yi Wu14732.78
Pin-Rong Chen15732.78
Nai-Chieh Lin16562.01
Hsin-Tzu Huang17733.11
Tzu-Ling Yang18572.36
Chung-Yuan Pai19562.01
Chun-San Tai20562.01
Wenliang Chen2144941.06
Chia-Yen Huang22732.78
Chun-Chi Liu2324112.80
Shun-Long Weng241326.40
Kuang-Wen Liao251285.75
wenlian2614817.11
Hsien-Da Huang2783563.83